Statistics with R - University of Notre Dame
Examining A Single Variable
Statistical Hypothesis Testing
Statistics with R
Hypothesis testing and distributions
Steven Buechler
Department of Mathematics
276B Hurley Hall; 1-6233
Fall, 2007
Examining A Single Variable
Statistical Hypothesis Testing
How do we study vectors?
Readings across a population
How do we find patterns in accumulated readings of a single
variable?
? For a categorical variable, what is the distribution of values?
? If it¡¯s a continuous variable is it normally distributed?
? Are there phenotypic subsets where the distributions are
different? How can we test this?
Examining A Single Variable
Statistical Hypothesis Testing
How do we study vectors?
Readings across a population
How do we find patterns in accumulated readings of a single
variable?
? For a categorical variable, what is the distribution of values?
? If it¡¯s a continuous variable is it normally distributed?
? Are there phenotypic subsets where the distributions are
different? How can we test this?
Examining A Single Variable
Statistical Hypothesis Testing
How do we study vectors?
Readings across a population
How do we find patterns in accumulated readings of a single
variable?
? For a categorical variable, what is the distribution of values?
? If it¡¯s a continuous variable is it normally distributed?
? Are there phenotypic subsets where the distributions are
different? How can we test this?
Examining A Single Variable
Statistical Hypothesis Testing
Examining Categorical Data
With categorical data about all you can do is examine the
frequency table:
> f table(f)
f
A B C
6 4 8
................
................
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